擅长:python、mysql、java
<p>我找出了错误,下面是答案</p>
<pre><code>A = []
# load more files with librosa
pathAudio = "drive/My Drive/dataset/noise/"
files = librosa.util.find_files(pathAudio, ext=['wav'])
files = np.asarray(files)
for y in files:
data, sr = librosa.load(y)
ps = librosa.feature.melspectrogram(y= data, sr=sr)
if ps.shape != (128, 128):
A.append((ps, y))
</code></pre>